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Elice Attracts Strategic Investment from Dongkuk Holdings and GS Ventures Lays Groundwork for 1GW-Scale Hyperscale AI Data Center Development
Elice Inc., an AI full-stack company providing AI infrastructure, cloud, and industry-specific solutions, announced that it has secured strategic investment from Dongkuk Holdings and GS Ventures. With this investment, Elice will pursue collaboration with Dongkuk Holdings and GS Ventures in the field of AI infrastructure.
Dongkuk Holdings possesses highly favorable site conditions for AI data center infrastructure, including large-scale power-receiving facilities located within steel mill properties of the Dongkuk Steel Group. In particular, Dongkuk Steel’s Pohang plant, a subsidiary of the group, already has an established power infrastructure, which is expected to support the future development of AI data centers.
GS Ventures, the corporate venture capital (CVC) arm of the GS Group, makes strategic investments in future growth businesses. The GS Group, through its subsidiary GS Donghae Electric Power, owns comprehensive infrastructure capable of supplying both the land for 1GW-class data centers and the required power capacity.
Collaborates with Dongkuk Holdings and GS Ventures to advance power- and land-based AI infrastructure
Building on these power and land infrastructure assets, Dongkuk Holdings and GS Ventures are exploring collaboration with Elice in the AI infrastructure domain. Leveraging its cloud technologies and large-scale GPU-based clustering capabilities, Elice plans to expand its AI data center business opportunities.
The decision by Dongkuk Holdings and GS Ventures to proceed with this strategic investment is grounded in Elice’s strengths in cloud technology and hands-on experience operating the latest GPUs in production environments. Elice has accumulated capabilities in:
- Designing and operating liquid-cooled AI data centers
- Commercializing large-scale GPU clustering technologies
- Operating high-density PMDC (Portable Modular Data Center)–based data centers over the past five years
Secures investment based on expertise in AI cloud technologies, including liquid cooling and large-scale GPU clustering
Liquid cooling technology improves power usage efficiency by effectively managing the substantial heat generated during AI computation, while container-based GPU clustering technology enables the dense aggregation of compute resources in limited space—creating an optimal environment for large-scale AI model training. The investors view the field experience Elice has accumulated over the past five years operating AI cloud infrastructure based on the latest GPUs and NPUs as a key competitive advantage for running future 1GW-class hyperscale data centers.
Jae Won Kim, CEO of Elice, said,
“AI infrastructure is a core element directly tied to national competitiveness, and it all begins with power-receiving capabilities and AI cloud technologies,” and added,
“Through this strategic investment, Elice will secure a stable power foundation and contribute to strengthening Korea’s AI infrastructure independence and expanding the broader industrial ecosystem.”
